C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
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Updated
Aug 12, 2024 - C++
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
PyTorch implementation of Soft Actor-Critic (SAC)
DrQ: Data regularized Q
RAD: Reinforcement Learning with Augmented Data
PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
OpenAI Gym wrapper for the DeepMind Control Suite
A Multi-Task Dataset for Simulated Humanoid Control
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Base Mujoco Gymnasium environment for easily controlling any robot arm with operational space control. Built with dm-control PyMJCF for easy configuration.
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
Convert DeepMind Control Suite to OpenAI gym environments.
Proto-RL: Reinforcement Learning with Prototypical Representations
Code for the paper: "Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation"
This repository is a collection of widely used self-supervised auxiliary losses used for learning representations in reinforcement learning.
PyTorch Implementation of Visual GAIL in Atari Games
A Deep Reinforcement Learning (DeepRL) package for RL algorithm developers.
Wrapper around dm_control to provide a gym like interface and vice-versa
Mujoco xml model for the Fetch Robotics Freight mobile base + Panda arm
Gymnasium integration for the DeepMind Control (DMC) suite
Farama Gymnasium API Wrapper for the DeepMind Control Suite and DeepMind Robot Manipulation Tasks
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